Waterfall Forensics.

Waterfall Forensics

We ran the contract forward for eight years. It matched to the penny.

Sequoia Mortgage Trust 2013-1: deconstructed from its prospectus into an executable encoding, then replayed against every monthly distribution the trustee ever reported — 93 periods, February 2013 through final termination.

$363M

of actual distributions reproduced

99.7%

of 2,139 comparisons within $1

$0.08

worst principal delta, ever

Every period, every class — computed from the contract vs. reported by the trustee

2014-04-25 · 5/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A1127,257.00127,257.002,086,615.922,086,615.920.00
1-AX188,652.09188,652.06——0.03
2-A1269,414.11269,414.11313,770.22313,770.220.00
2-AX271,836.80271,836.70——0.10
B-129,988.6229,988.6126,127.3126,127.310.01
B-219,992.4119,992.4117,418.2117,418.210.01
B-313,525.3213,525.3211,783.8111,783.810.01
B-49,996.219,996.208,709.108,709.100.01
B-512,796.1412,796.300.000.010.17

drag through 93 distribution dates — Δ is the summed absolute difference between the contract-computed and trustee-reported figures for the period

Or see all 93 periods at once: the tie-out heatmap ›

How

The governing documents are deconstructed into a provenance-linked encoding — every waterfall step, trigger, and floor provision cites the clause that defines it. A deterministic interpreter executes that encoding, period by period, against the collateral cashflows the trustee reported. State rolls forward on computed values only; an error anywhere would compound and surface. It doesn't.

The same engine then runs Monte Carlo counterfactuals — what should have happened under different prepayment, default, or servicing behavior — and exports the whole model as readable Python your own analysts run and defend. Every encoding is open to clause-by-clause verification, and every verification lands in an append-only ledger.